Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge.
Chompunuch SarasaenSoumick ChatterjeeMario BreitkopfGeorg RoseAndreas NürnbergerOliver SpeckPublished in: Artif. Intell. Medicine (2021)
Keyphrases
- super resolution
- fine tuning
- deep learning
- high resolution
- low resolution
- prior knowledge
- super resolution reconstruction
- high quality
- single image
- motion estimation
- unsupervised learning
- machine learning
- low resolution images
- medical images
- image patches
- depth map
- mental models
- weakly supervised
- image processing
- model selection
- active learning